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Remote Ai Data Collection Jobs in San Ramon, CA (NOW HIRING)

HumanSignal

Strategic Projects Lead

San Francisco, CA · Remote

$75K - $110K/yr

San Francisco, CA About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation -- delivering the datasets that frontier AI research requires and remote ...

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HumanSignal

Delivery Lead

San Francisco, CA · Remote

$110K - $140K/yr

San Francisco, CA About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation -- delivering the datasets that frontier AI research requires and remote ...

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$28

$35

How much do remote ai data collection jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote ai data collection in San Ramon, CA is $28.28, according to ZipRecruiter salary data. Most workers in this role earn between $26.06 and $28.99 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote AI Data Collection Specialist, and why are they important?

To thrive as a Remote AI Data Collection Specialist, you need attention to detail, data management skills, and a basic understanding of machine learning concepts, often supported by a degree in computer science or related fields. Familiarity with data annotation tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker is commonly required. Strong communication, time management, and problem-solving skills are important for collaborating remotely and meeting project deadlines. These abilities ensure accurate, efficient data gathering and annotation, which are critical for the quality and reliability of AI model development.

What are some common challenges faced in a Remote AI Data Collection role, and how can they be managed?

A common challenge in Remote AI Data Collection roles is ensuring data quality and consistency, especially when working independently without direct supervision. It is important to follow detailed guidelines precisely and communicate proactively with project managers or team leads whenever uncertainties arise. Time management and maintaining motivation can also be challenging when working remotely, so setting a structured schedule and leveraging collaboration tools can help. Regular check-ins with the team and staying updated with project requirements are key to overcoming these challenges and delivering reliable results.

What is remote AI data collection?

Remote AI data collection refers to the process of gathering and labeling data—such as images, audio, text, or video—from various sources using digital tools, often from a remote location. This data is used to train and improve artificial intelligence and machine learning models. People working in this field can perform tasks like annotating images, transcribing audio, or categorizing text, all from their home or another remote setting. The work is essential for creating accurate AI systems and often offers flexible hours. It usually requires basic computer skills and attention to detail.

What is the difference between Remote Ai Data Collection vs Remote Data Annotator?

AspectRemote Ai Data CollectionRemote Data Annotator
Required CredentialsBasic computer skills, training in data collection toolsAttention to detail, familiarity with annotation software
Work EnvironmentRemote, flexible hours, often on mobile or desktopRemote, flexible hours, often on desktop or specialized platforms
Industry UsageAI training data gathering across various sectorsLabeling and annotating data for machine learning models
Common Search IntentJobs involving data collection for AIJobs focused on data labeling and annotation

Remote Ai Data Collection involves gathering raw data for AI training, often requiring basic technical skills. Remote Data Annotator focuses on labeling and annotating data to improve machine learning models. Both roles are remote, but they differ in tasks and skill requirements, serving different stages of AI data preparation.

What are popular job titles related to Remote Ai Data Collection jobs in San Ramon, CA? For Remote Ai Data Collection jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Collection jobs in San Ramon, CA look for? The top searched job categories for Remote Ai Data Collection jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Remote Ai Data Collection jobs? Cities near San Ramon, CA with the most Remote Ai Data Collection job openings:
Remote Ai Data Collection jobs near you
Senior Software Engineer - Expert Data Collection Platform

Senior Software Engineer - Expert Data Collection Platform

Snorkel AI

Redwood City, CA • On-site, Remote

$192K - $240K/yr

Full-time

Posted 26 days ago

Job description

About Snorkel
At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data.
We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
Senior Full Stack Engineer
About the Team
As a Senior Full Stack Engineer at Snorkel, you'll deliver robust features that power our Expert Data Collection Platform, a critical engine for high-quality ML development. You will build end-to-end capabilities that enable domain experts to provide high-signal data for training and refining state-of-the-art models. Using a combination of strong programming skills and a creative, user-focused mindset, you will have full ownership and responsibility for building, shipping, and maintaining innovative new functionality across the stack that bridges the gap between human expertise and machine learning.
About the Role
  • Design and develop key interfaces for our expert data collection workflows, focusing on high-efficiency labeling, data analysis, and sophisticated visualization tools.
  • Prototype, optimize, and maintain scalable services to power complex data collection pipelines and expert-in-the-loop workflows.
  • Build proactively with empathy for both our customers and the subject matter experts using our tools, constantly iterating to balance innovative research with practical solutions.
  • Engage with product managers, designers, and ML experts to create a phenomenal user experience for data acquisition and refinement.
  • Collaborate with engineers to bring consistency and high standards to codebases, infrastructure, and processes.
  • Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office.

About You
  • 6+ years of professional full-stack experience developing performant, intuitive, and scalable web application architectures.
  • Experience developing and shipping enterprise software products, specifically those focused on data collection, annotation, or machine learning applications.
  • Experience prototyping and iterating on user interfaces with modern React (ES7+, React hooks, TypeScript).
  • Expertise designing REST APIs for internal services and developers.
  • Ability to work in a fast-paced environment with strong technical communication skills.
  • Self-motivation, a positive mental attitude, and an eagerness to learn in the rapidly evolving AI landscape.

Salary Range
$192,000-$240,000 USD
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly-offering a unique combination of stability and the excitement of high growth. As a member of our team, you'll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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